Key Intrinsic Connectivity Networks for Individual Identification With Siamese Long Short-Term Memory.

ABSTRACT: In functional magnetic resonance imaging (fMRI) analysis, many studies have been conducted on inter-subject variability as well as intra-subject reproducibility. These studies indicate that fMRI could have unique characteristics for individuals. In this study, we hypothesized that the dynamic information during 1 min of fMRI was unique and repetitive enough for each subject, so we applied long short-term memory (LSTM) using initial time points of dynamic resting-state fMRI for individual identification. Siamese network is used to obtain robust individual identification performance without additional learning on a new dataset. In particular, by adding a new structure called region of interest-wise average pooling (RAP), individual identification performance could be improved, and key intrin

SUBMITTER: Park YH 

PROVIDER: S-EPMC8249867 | biostudies-literature | 2021

REPOSITORIES: biostudies-literature